Nothing
intermediate.corr.BO <-
function(n.B, n.O, prop.vec=NULL, prop.list=NULL, corr.vec = NULL, corr.mat=NULL) {
validation.bin(n.B, prop.vec)
validation.ord(n.O, prop.list)
if(is.null(corr.mat) && !is.null(corr.vec)) {
d=ceiling(uniroot(function(d) d^2-d-2*length(corr.vec), interval=c(0,1000))$root)
corr.mat=diag(1,d)
corr.mat[lower.tri(corr.mat)]=corr.vec
corr.mat=corr.mat+t(corr.mat)-diag(1,d)
}
n.P<-ncol(corr.mat)-(n.B+n.O)
cor.mat.BO<-as.matrix(corr.mat[(n.P+1):(n.P+n.B+n.O),(n.P+1):(n.P+n.B+n.O)],(n.B+n.O),(n.B+n.O))
correlation.bound.check(n.P=0, n.B, n.O, lambda.vec=NULL, prop.vec, prop.list, corr.vec = NULL, corr.mat=cor.mat.BO)
if(n.B==1 && n.O==0) {
int.mat<-diag(1)
} else
if(n.B==0 && n.O==1) {
int.mat<-diag(1)
} else
q.vec=(1-prop.vec)
marginal<-c(q.vec,prop.list)
int.mat=ordcont(marginal, Sigma=cor.mat.BO,Spearman = FALSE)$SigmaC
return(int.mat)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.